-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 25 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 12 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 36 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 19
Collections
Discover the best community collections!
Collections including paper arxiv:2409.11355
-
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 26 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 119 -
Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs
Paper • 2409.14988 • Published • 20
-
SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher
Paper • 2408.14176 • Published • 58 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 120 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 56 -
OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion Model
Paper • 2409.01199 • Published • 12
-
Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 61 -
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations
Paper • 2408.12590 • Published • 33 -
DreamCinema: Cinematic Transfer with Free Camera and 3D Character
Paper • 2408.12601 • Published • 28 -
Real-Time Video Generation with Pyramid Attention Broadcast
Paper • 2408.12588 • Published • 13
-
MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Paper • 2407.08083 • Published • 27 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 56 -
The Mamba in the Llama: Distilling and Accelerating Hybrid Models
Paper • 2408.15237 • Published • 36 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 26
-
SelfEval: Leveraging the discriminative nature of generative models for evaluation
Paper • 2311.10708 • Published • 14 -
OmniGen: Unified Image Generation
Paper • 2409.11340 • Published • 78 -
NVLM: Open Frontier-Class Multimodal LLMs
Paper • 2409.11402 • Published • 55 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 26
-
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models
Paper • 2406.09416 • Published • 28 -
Wavelets Are All You Need for Autoregressive Image Generation
Paper • 2406.19997 • Published • 28 -
ViPer: Visual Personalization of Generative Models via Individual Preference Learning
Paper • 2407.17365 • Published • 11 -
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning
Paper • 2408.11001 • Published • 11
-
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
Paper • 2311.17049 • Published -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 13 -
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision
Paper • 2303.17376 • Published -
Sigmoid Loss for Language Image Pre-Training
Paper • 2303.15343 • Published • 4
-
LocalMamba: Visual State Space Model with Windowed Selective Scan
Paper • 2403.09338 • Published • 7 -
GiT: Towards Generalist Vision Transformer through Universal Language Interface
Paper • 2403.09394 • Published • 25 -
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Paper • 2402.19479 • Published • 32 -
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Paper • 2405.10300 • Published • 26